Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 48.2 * weight - 2927
This means that on average for every extra kilogram weight a rider loses 48.2 positions in the result.
Parenteau
1
68 kgZoetemelk
8
68 kgMerckx
11
74 kgPoulidor
12
71 kgMortensen
17
70 kgVan Impe
22
59 kgAja
24
66 kgMartin
25
62 kgDíaz
40
72 kgTamames
45
66 kgSwerts
990
75 kgSchleck
990
72 kgVasseur
990
67 kgMourioux
990
71 kgBracke
990
79 kgTschan
990
68 kgKrekels
990
73 kg
1
68 kgZoetemelk
8
68 kgMerckx
11
74 kgPoulidor
12
71 kgMortensen
17
70 kgVan Impe
22
59 kgAja
24
66 kgMartin
25
62 kgDíaz
40
72 kgTamames
45
66 kgSwerts
990
75 kgSchleck
990
72 kgVasseur
990
67 kgMourioux
990
71 kgBracke
990
79 kgTschan
990
68 kgKrekels
990
73 kg
Weight (KG) →
Result →
79
59
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARENTEAU Jean-Pierre | 68 |
| 8 | ZOETEMELK Joop | 68 |
| 11 | MERCKX Eddy | 74 |
| 12 | POULIDOR Raymond | 71 |
| 17 | MORTENSEN Leif | 70 |
| 22 | VAN IMPE Lucien | 59 |
| 24 | AJA Gonzalo | 66 |
| 25 | MARTIN Raymond | 62 |
| 40 | DÍAZ Ventura | 72 |
| 45 | TAMAMES Agustín | 66 |
| 990 | SWERTS Roger | 75 |
| 990 | SCHLECK Johny | 72 |
| 990 | VASSEUR Alain | 67 |
| 990 | MOURIOUX Jacques | 71 |
| 990 | BRACKE Ferdinand | 79 |
| 990 | TSCHAN Jürgen | 68 |
| 990 | KREKELS Jan | 73 |